Healthcare Data Quality Language (HDQL): Streamlining the Translation of Healthcare System Requirements into Software Quality Attributes
Year: 2025
Type: book-chapter
Abstract: Existing software quality definition models often fall short in addressing the dynamic and evolving requirements of Healthcare Information Systems (HIS), particularly the unique regulatory and infrastructural challenges inherent to healthcare environments. This poster introduces the Healthcare Data Quality Language (HDQL), a novel framework designed to bridge the gap between HIS requirements and software quality attributes. HDQL enables healthcare professionals to intuitively define software features tailored to their needs, fostering improved system acceptance, enhanced performance, and system evolution.
DOI: 10.3233/shti250456
Authors: Tia Haddad, Pushpa Kumarapeli, Simon de Lusignan, Sarah Barman, Souheil Khaddaj
Institutions: Kingston University London, University of Oxford
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410447941